International Advisor

Responsibilities

• Audit and refine the organizational hierarchy of the live scouting department (e.g., Regional Coordinators, Quality Assurance Managers, Senior Loggers, In-Stadium vs. Video Taggers).
• Evaluate current live data logging processes (latency, data entry accuracy, communication protocols) and design workflows that minimize data transmission lag.
• Establish business continuity plans for technical failures, stream dropouts, or stadium access issues during live match operations.
• Define the exact roadmap for where to find high-quality data loggers, defining specific protocols for using primary channels and alternative talent pools.
• Standardize the assessment and vetting process. Design specialized benchmarking tests (e.g., video-based coordination tests, speedtyping, and football/sports IQ evaluations) to filter out low-performing candidates before onboarding.
• Build a playbook for mass-hiring initiatives required ahead of major tournament cycles or season kick-offs.
• Develop an objective, data-driven framework to evaluate scout performance. Metrics must include: Accuracy Rate (% of correctly tagged events against master review), Latency/Speed (average seconds between live event and system log), and Completeness (% of required metadata captured).
• Establish secondary-review structures where QA teams systematically audit live matches to grade data integrity.
• Design a "Scout Tiering" system (e.g., Junior, Core, Senior, Master) where performance directly dictates promotion and access to premium/high-profile matches.
• Design a competitive, scalable compensation matrix tailored to geographic regions, match difficulty, and data requirements.
• Implement financial or tier-based bonus structures rewarding high accuracy, perfect attendance, low latency, and willingness to cover late-night or short-notice fixtures.
• Balance payroll expenses against data quality to optimize the department’s overall operational budget.

Requirements

• Minimum of 7 - 10+ years of direct, hands-on experience within a major sports data provider (e.g., tier-1 sports betting syndicates).
• Intimate familiarity with both Event-Based Data Collection (human logging software, UI/UX optimization) and Optical/Tracking Data Processes.
• A track record of having successfully scaled or managed a global network of hundreds of remote or in-stadium scouts.
• Expert-level knowledge of how data structures impact the end product (media feeds, betting APIs, or club analytics platforms).

Working conditions

• Type: Full-time
• Location: Global - open to candidates worldwide (LATAM, Europe and Asian markets): This role requires a remote/hybrid work setup. You will work both remotely and hybrid depending on team and business needs.